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GPR

Gaussian Process Regression

Papers

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Showing 201–225 of 270 papers

TitleStatusHype
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation—0
Tractable Data Enriched Distributionally Robust Chance-Constrained CVR—0
Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys—0
TVG: A Training-free Transition Video Generation Method with Diffusion Models—0
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach—0
Underground Diagnosis Based on GPR and Learning in the Model Space—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems—0
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning—0
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression?—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function—0
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space—0
Accurate Tree Roots Positioning and Sizing over Undulated Ground Surfaces by Common Offset GPR Measurements—0
A clustering adaptive Gaussian process regression method: response patterns based real-time prediction for nonlinear solid mechanics problems—0
Active-learning-based non-intrusive Model Order Reduction—0
Active Learning for Saddle Point Calculation—0
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference—0
Adaptively Weighted Averaging Over-the-Air Computation and Its Application to Distributed Gaussian Process Regression—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning—0
Adaptive Transfer Learning for Plant Phenotyping—0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
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